Joint source-channel coding at the application layer for parallel Gaussian sources

Author

Bursalioglu, Ozgun Y. ; Caire, Giuseppe ; Fresia, Maria ; Poor, H. Vincent

Author_Institution

Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA

fYear

2009

fDate

June 28 2009-July 3 2009

Firstpage

2126

Lastpage

2130

Abstract

In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, computed by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.

Keywords

Gaussian channels; binary codes; channel coding; multicast communication; source coding; application layer; binary erasure broadcast channel; binary rateless encoders; embedded scalar quantizers; joint source-channel coding; multicasting; multiresolution embedded quantization; parallel Gaussian sources; AWGN; Channel capacity; Discrete wavelet transforms; Distortion measurement; Entropy; Network servers; Protocols; Quantization; Rate-distortion; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2009. ISIT 2009. IEEE International Symposium on

Conference_Location

Seoul

Print_ISBN

978-1-4244-4312-3

Electronic_ISBN

978-1-4244-4313-0

Type

conf

DOI

10.1109/ISIT.2009.5205762

Filename

5205762